Skip to main content

Desirability, Feasibility, Viability: The Impact of In-Memory

  • Chapter
  • First Online:
In-Memory Data Management

Abstract

Sub-second respond time and real-time analytics are key requirements for applications that allow natural human computer interactions. We envision users of enterprise applications to interact with their software tools in such a natural way, just like any Internet user interacts with a web search engine today by refining search results on the fly when the initial results are not satisfying. In this initial chapter, we illustrate this vision of providing business data in real time and discuss it in terms of desirability, feasibility, and viability. We first explain the desire of supplying information in real time and review sub-second response time in the context of enterprise applications. We then discuss the feasibility based on in-memory databases that leverage modern computer hardware and conclude by demonstrating the economic viability of in-memory data management.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Main memory refers to silicon-based storage directly accessible from the CPU while in-memory refers to the concept of storing the primary data copy of a database in main memory. Main memory is volatile as data is lost upon power failure.

  2. 2.

    It should be noted that reengineered versions of IMS have subsequently come to be used in a wide variety of scenarios.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Plattner, H., Zeier, A. (2012). Desirability, Feasibility, Viability: The Impact of In-Memory. In: In-Memory Data Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29575-1_1

Download citation

Publish with us

Policies and ethics